policy
ppo-self-play
ImmanuelXIV · PyTorch
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Overview
Name
ppo-self-play
Author
ImmanuelXIV
Framework
PyTorch
License
MIT
Skill type
other
Evidence level
untested
Task description
Reinforcement Learning | Multi-Agent RL | Self-Play | Proximal Policy Optimization Algorithm (PPO) agent | Unity Tennis environment
Spaces
Action space
other · 0-dim · 0Hz
Observation space
- type: other
Links
HuggingFace repo
null
Paper (arXiv)
null
Compatible robots
3+17 mentioned but not in catalog yetCompatible environments
0No environments list ppo-self-play yet.
Datasets that reference this policy
0No datasets reference ppo-self-play yet.